Senior Forward Deployed Engineer (Delta)

• Location: Louisville, TN

• Duration: 6 months

• Primary Skill: Palantir Foundry

• Experience Required: 4–8 years, with at least 2+ years of hands-on Palantir Foundry experience

• Industry: Healthcare / Kidney Care

• Important Requirement: Candidates must have genuine, hands-on Palantir Foundry experience. Do not misrepresent experience or present candidates without actual Palantir expertise.

Essential Skills

• Strong hands-on experience with Palantir Foundry.

• Deep understanding of Foundry Ontology, including object types, link types, action types, interfaces, and functions.

• Strong proficiency in Python, including PySpark, Pandas, and Polars.

• Strong SQL skills and experience with Java and TypeScript.

• Experience designing and deploying enterprise-grade data integration pipelines.

• Experience with batch, streaming, incremental pipelines, and multi-source data connectors.

• Experience building Workshop applications and OSDK-based applications using React/TypeScript.

• Experience developing TypeScript/Python functions, function-backed actions, and function-backed columns.

• Knowledge of data governance, permissions, access controls, and data security.

• Experience with Palantir AIP, AIP Logic, AIP Agents, and retrieval-augmented generation (RAG).

• Strong technical leadership, architecture, and customer engagement skills.

Key Responsibilities

• Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry.

• Architect and maintain the Foundry Ontology layer.

• Develop and optimize Python, SQL, and Java transforms.

• Build server-side business logic using TypeScript and Python functions.

• Create Workshop applications, OSDK-based applications, and custom widgets.

• Implement data governance, including markings, permissions, restricted views, and role-based access controls.

• Design and deploy AI-powered workflows using AIP Logic, AIP Agents, evaluation suites, and RAG pipelines.

• Own end-to-end deployment roadmaps, including scoping, architecture, development, testing, and production deployment.

• Work directly with senior customer stakeholders to translate business requirements into technical solutions.

• Lead and mentor Forward Deployed Engineers.

• Establish engineering best practices for branching, testing, incremental pipelines, and CI/CD.

• Develop machine learning models using Foundry Model Studio and pro-code repositories.

• Collaborate with Palantir product teams and internal engineering teams to improve platform capabilities.

• Provide technical documentation, training, and knowledge sharing.

Required Qualifications

• 5+ years of experience in software engineering, data engineering, or technical consulting.

• At least 2+ years of hands-on Palantir Foundry experience.

• Proven experience delivering production-grade data pipelines at enterprise scale.

• Strong understanding of the complete Foundry data lifecycle, from data ingestion to Ontology, applications, actions, and writeback.

• Experience with Workshop and/or OSDK-based applications.

• Excellent communication and stakeholder management skills.

• Ability to independently own technical architecture, development, deployment, and production support.

Desirable Skills

• Google Cloud Platform (GCP): Compute Engine, Cloud Functions, Cloud Storage, Dataflow, Pub/Sub, and IAM.

• Google BigQuery: Query optimization, partitioning, clustering, BigQuery ML, and data warehousing.

• AI/ML: AIP Logic, AIP Agents, Model Studio, LLM-powered functions, and evaluation suites.

• Machine Learning: Classification, regression, time-series forecasting, and batch/live inference.

• Data Governance: ABAC, Cipher, restricted views, and HIPAA-compliant data handling.

• Healthcare Domain: Healthcare operations, kidney care, clinical operations, and revenue cycle optimization.

• Leadership: Experience leading teams of three or more engineers in forward-deployed environments.

• Contributions to internal tooling, open-source projects, or platform evangelism.

Technical Skills Summary

• Languages: Python, TypeScript, SQL, Java.

• Data Engineering: PySpark, Pandas, Polars, DuckDB, Pipeline Builder, incremental pipelines.

• Cloud Platforms: GCP, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions.

• Palantir Foundry: Ontology, OSDK, Workshop, Pipeline Builder, Code Workspaces, Model Studio, Cipher.

• Applications: React, TypeScript, Python, custom widgets.

• AI/ML: AIP Logic, AIP Agents, RAG, LLM functions, evaluation suites, BigQuery ML.

• Data Governance: Markings, permissions, restricted views, ABAC, HIPAA compliance.

• Infrastructure: Data connections, connectors, batch and streaming syncs, CDC, schedules, GCP networking.

Role Summary

• Lead the design and implementation of enterprise solutions using Palantir Foundry.

• Build scalable data pipelines, Ontology models, operational applications, and AI-powered workflows.

• Drive technical strategy, customer engagement, and production deployment.

• Mentor engineers and ensure secure, reliable, and maintainable solutions for healthcare operations.